/***********************************************************************

	This file is part of KEEL-software, the Data Mining tool for regression, 
	classification, clustering, pattern mining and so on.

	Copyright (C) 2004-2010
	
	F. Herrera (herrera@decsai.ugr.es)
    L. Sánchez (luciano@uniovi.es)
    J. Alcalá-Fdez (jalcala@decsai.ugr.es)
    S. García (sglopez@ujaen.es)
    A. Fernández (alberto.fernandez@ujaen.es)
    J. Luengo (julianlm@decsai.ugr.es)

	This program is free software: you can redistribute it and/or modify
	it under the terms of the GNU General Public License as published by
	the Free Software Foundation, either version 3 of the License, or
	(at your option) any later version.

	This program is distributed in the hope that it will be useful,
	but WITHOUT ANY WARRANTY; without even the implied warranty of
	MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
	GNU General Public License for more details.

	You should have received a copy of the GNU General Public License
	along with this program.  If not, see http://www.gnu.org/licenses/
  
**********************************************************************/

package keel.Algorithms.Neural_Networks.NNEP_Common.mutators.parametric;



import keel.Algorithms.Neural_Networks.NNEP_Common.neuralnet.LinkedLayer;
import keel.Algorithms.Neural_Networks.NNEP_Common.neuralnet.LinkedNeuron;

/**  
 * <p> Parametric Mutator of a specific neuron
 * @author Written by Pedro Antonio Gutierrez Penia (University of Cordoba) 16/7/2007
 * @author Written by Aaron Ruiz Mora (University of Cordoba) 16/7/2007
 * @version 0.1
 * @param <N> Type for the Neuron Mutator
 * @since JDK1.5
 * </p>
 */

public interface INeuronParametricMutator<N extends LinkedNeuron> {
	
	/**
	 * <p>
	 * Parametric Mutator of a specific neuron
	 * </p>
	 */
	
	/**
	 * <p>
	 * Do the parametric mutation over the links of a specific neuron
	 * in a specific layer
	 * </p>
	 * @param neuron Neuron in the layer to mutate
	 * @param layer Layer that contains the neuron
	 * @param nextLayer Next layer
	 * @param indexNeuron Index of neuron in the layer
	 * @param alphaInput Alpha coeficient for the input weigths
	 * @param alphaOutput Alpha coeficient for the output weigths
	 * @param temper Temperature of the individual that is being mutated
	 */
	
	public void parametricMutation(N neuron, LinkedLayer layer, LinkedLayer nextLayer, 
			int indexNeuron, double alphaInput, double alphaOutput, double temper);
	
}

